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Chang-Ho Hwang's Projects

raspberrypi-magicmirror icon raspberrypi-magicmirror

基于树莓派的智能魔镜,支持人脸识别、情感监测、热词唤醒、语音交互,以及与手机APP交互、温湿度/新闻热点/日期等的显示 等

raspberrypiopensourceiris icon raspberrypiopensourceiris

Raspberry Pi open source iris recognition project with CC-Net-based segmentation and human-driven BSIF coding

rawcopy icon rawcopy

Read and write directly from and to disk devices, files, pipes etc in Windows.

rdpthief icon rdpthief

Extracting Clear Text Passwords from mstsc.exe using API Hooking.

re-touch icon re-touch

Removes unnecessary space from image to convert it in rectangular shape , It's reactjs and opencvjs project.

react-cpp icon react-cpp

C++ event loop library. Wrapper around libev that utilizes lambda's and callback functions to notify you when filedescriptors become active and/or timers expire.

react-native-fbsdk icon react-native-fbsdk

A React Native wrapper around the Facebook SDKs for Android and iOS. Provides access to Facebook login, sharing, graph requests, app events etc.

react-native-track-player icon react-native-track-player

A fully fledged audio module created for music apps. Provides audio playback, external media controls, chromecast support, background mode and more!

reactos icon reactos

svn://svn.reactos.org/reactos/trunk

real-time-face-detection icon real-time-face-detection

- Streaming a webcam through HTML - Using Face API to detect faces in real time - Drawing facial landmarks in real time - Determining emotion through facial expressions in real time

real-time-face-detection-1 icon real-time-face-detection-1

Real time face detection is done using simple HTML and Javascript."Faceapi" is the library used in this project to detect the face and determine the facial expressions.

real-time-face-detection-javascript icon real-time-face-detection-javascript

- Streaming a webcam through HTML - Using Face API to detect faces in real time - Drawing facial landmarks in real time - Determining emotion through facial expressions in real time

real-time-face-sentiment-recogniser-webapplication icon real-time-face-sentiment-recogniser-webapplication

It is a CNN Based model using keras.It Detects the Facial Expression of the Face and tells what is the sentiment/expression out of 7 different types of sentiments (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).

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